Triple
T7678929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amer River |
E173937
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Drimmelen |
E137305
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Drimmelen | Statement: [Amer River, locatedNear, Drimmelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drimmelen Context triple: [Amer River, locatedNear, Drimmelen]
-
A.
Drimmelen
chosen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
-
B.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
C.
Wemmel
Wemmel is a municipality in the Flemish Brabant province of Belgium, located just northwest of Brussels and known for its suburban residential character.
-
D.
Merode
Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
-
E.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:01 p.m.